Overview

Dataset statistics

Number of variables69
Number of observations424431
Missing cells34652
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory223.4 MiB
Average record size in memory552.0 B

Variable types

CAT30
NUM26
BOOL11
UNSUPPORTED2

Warnings

EEA_PolicyYear has constant value "424431" Constant
Vehicle_Make_Description has a high cardinality: 7650 distinct values High cardinality
Driver_Total_Licensed_In_State is highly correlated with Driver_TotalHigh correlation
Driver_Total is highly correlated with Driver_Total_Licensed_In_StateHigh correlation
Driver_Maximum_Age is highly correlated with Driver_Minimum_AgeHigh correlation
Driver_Minimum_Age is highly correlated with Driver_Maximum_AgeHigh correlation
Severity is highly correlated with Loss_AmountHigh correlation
Loss_Amount is highly correlated with SeverityHigh correlation
EEA_Prior_Bodily_Injury_Limit is highly correlated with Vehicle_Bodily_Injury_LimitHigh correlation
Vehicle_Bodily_Injury_Limit is highly correlated with EEA_Prior_Bodily_Injury_LimitHigh correlation
Vehicle_Bodily_Injury_Limit has 17326 (4.1%) missing values Missing
EEA_Prior_Bodily_Injury_Limit has 17326 (4.1%) missing values Missing
Vehicle_Days_Per_Week_Driven is highly skewed (γ1 = -58.63345215) Skewed
Loss_Amount is highly skewed (γ1 = 103.5190468) Skewed
Frequency is highly skewed (γ1 = 143.6096443) Skewed
Severity is highly skewed (γ1 = 108.4729269) Skewed
Loss_Ratio is highly skewed (γ1 = 288.7197059) Skewed
PolicyNo has unique values Unique
Policy_Zip_Code_Garaging_Location is an unsupported type, check if it needs cleaning or further analysis Unsupported
EEA_Policy_Zip_Code_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
Driver_Total_Married has 165677 (39.0%) zeros Zeros
Driver_Total_Adult_Ages_50_64 has 301761 (71.1%) zeros Zeros
Vehicle_Driver_Points has 381289 (89.8%) zeros Zeros
EEA_Policy_Tenure has 41876 (9.9%) zeros Zeros
Claim_Count has 405562 (95.6%) zeros Zeros
Loss_Amount has 405562 (95.6%) zeros Zeros
Frequency has 405562 (95.6%) zeros Zeros
Severity has 405562 (95.6%) zeros Zeros
Loss_Ratio has 405564 (95.6%) zeros Zeros

Reproduction

Analysis started2020-11-04 21:45:48.704708
Analysis finished2020-11-04 21:55:26.630013
Duration9 minutes and 37.93 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

PolicyNo
Real number (ℝ≥0)

UNIQUE

Distinct424431
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314487432
Minimum164532941
Maximum382348800
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:27.106431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum164532941
5-th percentile192994033.5
Q1283244217
median332617706
Q3361279753
95-th percentile376110250
Maximum382348800
Range217815859
Interquartile range (IQR)78035536

Descriptive statistics

Standard deviation57761418.75
Coefficient of variation (CV)0.1836684486
Kurtosis-0.1758964826
Mean314487432
Median Absolute Deviation (MAD)33871796
Skewness-0.9510756048
Sum1.334782153e+14
Variance3.336381496e+15
MonotocityStrictly increasing
2020-11-04T16:55:27.345182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3795927001< 0.1%
 
3312228081< 0.1%
 
3651912021< 0.1%
 
3505009051< 0.1%
 
3734344001< 0.1%
 
3618769021< 0.1%
 
2424873401< 0.1%
 
3400643051< 0.1%
 
3578860031< 0.1%
 
3412939051< 0.1%
 
Other values (424421)424421> 99.9%
 
ValueCountFrequency (%) 
1645329411< 0.1%
 
1645332411< 0.1%
 
1645346331< 0.1%
 
1645348391< 0.1%
 
1645348401< 0.1%
 
ValueCountFrequency (%) 
3823488001< 0.1%
 
3821625001< 0.1%
 
3820574001< 0.1%
 
3817356001< 0.1%
 
3817130001< 0.1%
 

Policy_Company
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Standard
397788 
Preferred
 
26643
ValueCountFrequency (%) 
Standard 39778893.7%
 
Preferred266436.3%
 
2020-11-04T16:55:27.562237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:27.697263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:27.839029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length9
Median length9
Mean length9
Min length9
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
6
408536 
12
 
15895
ValueCountFrequency (%) 
640853696.3%
 
12158953.7%
 
2020-11-04T16:55:28.037923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:28.178735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:28.347975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length1
Mean length1.037450139
Min length1
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Direct Billed to Insured
415344 
Premium Finance
 
9087
ValueCountFrequency (%) 
Direct Billed to Insured41534497.9%
 
Premium Finance90872.1%
 
2020-11-04T16:55:28.605086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:28.767129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:28.935420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length24
Median length24
Mean length23.80731144
Min length15
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Installment
213826 
Pre-paid
210605 
ValueCountFrequency (%) 
Installment21382650.4%
 
Pre-paid21060549.6%
 
2020-11-04T16:55:29.178527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:29.326861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:29.505633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length11
Median length11
Mean length9.511383476
Min length8
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
N
374330 
Y
50101 
ValueCountFrequency (%) 
N37433088.2%
 
Y5010111.8%
 
2020-11-04T16:55:29.673052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Policy_Zip_Code_Garaging_Location
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size3.2 MiB

Vehicle_Territory
Real number (ℝ≥0)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.05162912
Minimum13
Maximum37
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:29.810547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20
Q130
median31
Q335
95-th percentile35
Maximum37
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.186688377
Coefficient of variation (CV)0.1348299106
Kurtosis6.178835791
Mean31.05162912
Median Absolute Deviation (MAD)1
Skewness-2.145050356
Sum13179274
Variance17.52835957
MonotocityNot monotonic
2020-11-04T16:55:30.037876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
3118038842.5%
 
3510785425.4%
 
307021216.5%
 
27166093.9%
 
3293812.2%
 
3790412.1%
 
1753351.3%
 
1348361.1%
 
2643461.0%
 
2034150.8%
 
Other values (6)130143.1%
 
ValueCountFrequency (%) 
1348361.1%
 
1518930.4%
 
1628500.7%
 
1753351.3%
 
1819080.4%
 
ValueCountFrequency (%) 
3790412.1%
 
3632730.8%
 
3510785425.4%
 
3293812.2%
 
3118038842.5%
 

Vehicle_Make_Year
Real number (ℝ≥0)

Distinct80
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1996.753482
Minimum1924
Maximum2008
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:30.358756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1924
5-th percentile1984
Q11993
median1998
Q32002
95-th percentile2005
Maximum2008
Range84
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.388605208
Coefficient of variation (CV)0.003700309165
Kurtosis4.33133002
Mean1996.753482
Median Absolute Deviation (MAD)4
Skewness-1.559986621
Sum847484077
Variance54.59148692
MonotocityNot monotonic
2020-11-04T16:55:30.704882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2000287686.8%
 
1999275236.5%
 
2002272436.4%
 
2001264796.2%
 
2003259336.1%
 
2004251505.9%
 
1998239595.6%
 
1997238485.6%
 
2005232405.5%
 
1995222455.2%
 
Other values (70)17004340.1%
 
ValueCountFrequency (%) 
19242< 0.1%
 
19271< 0.1%
 
19286< 0.1%
 
19294< 0.1%
 
19306< 0.1%
 
ValueCountFrequency (%) 
200832< 0.1%
 
200738180.9%
 
2006169794.0%
 
2005232405.5%
 
2004251505.9%
 

Vehicle_Make_Description
Categorical

HIGH CARDINALITY

Distinct7650
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
FORD F150
 
15599
CHEV PICKUP1500
 
12165
FORD RANGER
 
10418
CHEV S10 PICKUP
 
7778
CHEV SILVER1500
 
7411
Other values (7645)
371060 
ValueCountFrequency (%) 
FORD F150 155993.7%
 
CHEV PICKUP1500 121652.9%
 
FORD RANGER 104182.5%
 
CHEV S10 PICKUP 77781.8%
 
CHEV SILVER1500 74111.7%
 
TYTA CAMRY 64351.5%
 
DODG RAM PU1500 62771.5%
 
FORD EXPLORER 60361.4%
 
HOND ACCORD EX 57251.3%
 
HOND ACCORD LX 48451.1%
 
Other values (7640)34174280.5%
 
2020-11-04T16:55:31.054450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3133 ?
Unique (%)0.7%
2020-11-04T16:55:31.382386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length19
Median length17
Mean length16.99991518
Min length16
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Standard
404713 
Intermediate
 
11381
High
 
5386
Sports Premium
 
1870
Sports
 
1081
ValueCountFrequency (%) 
Standard40471395.4%
 
Intermediate113812.7%
 
High53861.3%
 
Sports Premium18700.4%
 
Sports10810.3%
 
2020-11-04T16:55:31.685554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:31.894762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:32.156089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length14
Median length8
Mean length8.077840686
Min length4

Vehicle_New_Cost_Amount
Real number (ℝ)

Distinct177
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.3339577
Minimum-1
Maximum99999
Zeros662
Zeros (%)0.2%
Memory size3.2 MiB
2020-11-04T16:55:32.498381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum99999
Range100000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2876.61906
Coefficient of variation (CV)9.907966269
Kurtosis308.1680916
Mean290.3339577
Median Absolute Deviation (MAD)0
Skewness14.72918365
Sum123226732
Variance8274937.214
MonotocityNot monotonic
2020-11-04T16:55:32.882681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-141734598.3%
 
06620.2%
 
200006190.1%
 
180004340.1%
 
150004130.1%
 
250003970.1%
 
120003750.1%
 
100003500.1%
 
160002600.1%
 
140002440.1%
 
Other values (167)33320.8%
 
ValueCountFrequency (%) 
-141734598.3%
 
06620.2%
 
112< 0.1%
 
217< 0.1%
 
315< 0.1%
 
ValueCountFrequency (%) 
999994< 0.1%
 
982032< 0.1%
 
980001< 0.1%
 
960001< 0.1%
 
950004< 0.1%
 

Vehicle_Symbol
Real number (ℝ)

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.19234693
Minimum-1
Maximum27
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:33.124601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile5
Q18
median11
Q314
95-th percentile18
Maximum27
Range28
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.007122979
Coefficient of variation (CV)0.3580234783
Kurtosis-0.0262732829
Mean11.19234693
Median Absolute Deviation (MAD)3
Skewness0.2008648345
Sum4750379
Variance16.05703457
MonotocityNot monotonic
2020-11-04T16:55:33.354911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
84812211.3%
 
114636410.9%
 
104518810.6%
 
124513310.6%
 
14367348.7%
 
13361808.5%
 
7298517.0%
 
15283556.7%
 
6199944.7%
 
16186434.4%
 
Other values (18)6986716.5%
 
ValueCountFrequency (%) 
-125< 0.1%
 
16810.2%
 
220710.5%
 
338890.9%
 
4100992.4%
 
ValueCountFrequency (%) 
27120< 0.1%
 
26203< 0.1%
 
252750.1%
 
246160.1%
 
2311100.3%
 
Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.39731782
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:33.648484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)98

Descriptive statistics

Standard deviation43.95258053
Coefficient of variation (CV)1.547772251
Kurtosis-1.032115783
Mean28.39731782
Median Absolute Deviation (MAD)0
Skewness0.9837752691
Sum12052702
Variance1931.829335
MonotocityNot monotonic
2020-11-04T16:55:33.848603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
129583769.7%
 
9911854427.9%
 
292832.2%
 
36660.2%
 
474< 0.1%
 
518< 0.1%
 
66< 0.1%
 
82< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
129583769.7%
 
292832.2%
 
36660.2%
 
474< 0.1%
 
518< 0.1%
 
ValueCountFrequency (%) 
9911854427.9%
 
82< 0.1%
 
71< 0.1%
 
66< 0.1%
 
518< 0.1%
 

Vehicle_Usage
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Pleasure
227389 
Work
155103 
Farm
39141 
Business
 
2798
ValueCountFrequency (%) 
Pleasure22738953.6%
 
Work 15510336.5%
 
Farm 391419.2%
 
Business27980.7%
 
2020-11-04T16:55:34.085808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:34.232434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:34.435334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length8
Median length8
Mean length8
Min length8

Vehicle_Miles_To_Work
Real number (ℝ)

Distinct80
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.302400155
Minimum-1
Maximum99
Zeros1066
Zeros (%)0.3%
Memory size3.2 MiB
2020-11-04T16:55:34.676153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q36
95-th percentile16
Maximum99
Range100
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.698294062
Coefficient of variation (CV)2.331120913
Kurtosis14.42742285
Mean3.302400155
Median Absolute Deviation (MAD)0
Skewness3.000574705
Sum1401641
Variance59.26373146
MonotocityNot monotonic
2020-11-04T16:55:34.970474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-126623262.7%
 
10309067.3%
 
5185334.4%
 
12129863.1%
 
8114892.7%
 
693142.2%
 
385112.0%
 
1482792.0%
 
473801.7%
 
270871.7%
 
Other values (70)4371410.3%
 
ValueCountFrequency (%) 
-126623262.7%
 
010660.3%
 
141481.0%
 
270871.7%
 
385112.0%
 
ValueCountFrequency (%) 
9965< 0.1%
 
981< 0.1%
 
952< 0.1%
 
931< 0.1%
 
907< 0.1%
 

Vehicle_Days_Per_Week_Driven
Real number (ℝ)

SKEWED

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.998798391
Minimum-1
Maximum9
Zeros63
Zeros (%)< 0.1%
Memory size3.2 MiB
2020-11-04T16:55:35.203408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum9
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0807188444
Coefficient of variation (CV)0.01614764951
Kurtosis3884.678026
Mean4.998798391
Median Absolute Deviation (MAD)0
Skewness-58.63345215
Sum2121645
Variance0.006515531842
MonotocityNot monotonic
2020-11-04T16:55:35.435160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
5424278> 99.9%
 
063< 0.1%
 
-119< 0.1%
 
117< 0.1%
 
316< 0.1%
 
615< 0.1%
 
27< 0.1%
 
75< 0.1%
 
45< 0.1%
 
84< 0.1%
 
ValueCountFrequency (%) 
-119< 0.1%
 
063< 0.1%
 
117< 0.1%
 
27< 0.1%
 
316< 0.1%
 
ValueCountFrequency (%) 
92< 0.1%
 
84< 0.1%
 
75< 0.1%
 
615< 0.1%
 
5424278> 99.9%
 
Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Unknown
424341 
0
 
74
500000
 
4
20000
 
3
30000
 
2
Other values (5)
 
7
ValueCountFrequency (%) 
Unknown424341> 99.9%
 
074< 0.1%
 
5000004< 0.1%
 
200003< 0.1%
 
300002< 0.1%
 
500002< 0.1%
 
600002< 0.1%
 
700001< 0.1%
 
1000001< 0.1%
 
1500001< 0.1%
 
2020-11-04T16:55:35.681218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%
2020-11-04T16:55:35.835765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:36.100612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.998892635
Min length1
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Not Applicable
248634 
Passive Disabling-Vehicle Recovery
133362 
Alarm Only
31852 
Active Disabling
 
10578
Unknown
 
5
ValueCountFrequency (%) 
Not Applicable24863458.6%
 
Passive Disabling-Vehicle Recovery13336231.4%
 
Alarm Only318527.5%
 
Active Disabling105782.5%
 
Unknown5< 0.1%
 
2020-11-04T16:55:36.309591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:36.442023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:36.635900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length34
Median length14
Mean length20.03385003
Min length7
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Y
311935 
N
112415 
Unknown
 
81
ValueCountFrequency (%) 
Y31193573.5%
 
N11241526.5%
 
Unknown81< 0.1%
 
2020-11-04T16:55:36.834197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:36.959075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:37.126192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length1
Mean length1.001145062
Min length1

Vehicle_Age_In_Years
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.03712971
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:37.302683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.57615158
Coefficient of variation (CV)0.3660798772
Kurtosis-0.4468997879
Mean7.03712971
Median Absolute Deviation (MAD)0
Skewness-0.9887744872
Sum2986776
Variance6.636556966
MonotocityNot monotonic
2020-11-04T16:55:37.456068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
922560153.2%
 
8281456.6%
 
7280946.6%
 
5271226.4%
 
6267976.3%
 
4257406.1%
 
3246045.8%
 
2230575.4%
 
1152713.6%
 
ValueCountFrequency (%) 
1152713.6%
 
2230575.4%
 
3246045.8%
 
4257406.1%
 
5271226.4%
 
ValueCountFrequency (%) 
922560153.2%
 
8281456.6%
 
7280946.6%
 
6267976.3%
 
5271226.4%
 

Vehicle_Med_Pay_Limit
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2787.138772
Minimum-1
Maximum50000
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:37.620593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q11000
median1000
Q35000
95-th percentile10000
Maximum50000
Range50001
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation6182.910179
Coefficient of variation (CV)2.218371845
Kurtosis41.00030559
Mean2787.138772
Median Absolute Deviation (MAD)1001
Skewness6.002753412
Sum1182948096
Variance38228378.29
MonotocityNot monotonic
2020-11-04T16:55:37.788487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
100019499345.9%
 
-19890423.3%
 
50009544622.5%
 
2000138173.3%
 
10000120592.8%
 
5000052921.2%
 
2500039200.9%
 
ValueCountFrequency (%) 
-19890423.3%
 
100019499345.9%
 
2000138173.3%
 
50009544622.5%
 
10000120592.8%
 
ValueCountFrequency (%) 
5000052921.2%
 
2500039200.9%
 
10000120592.8%
 
50009544622.5%
 
2000138173.3%
 

Vehicle_Bodily_Injury_Limit
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)< 0.1%
Missing17326
Missing (%)4.1%
Memory size3.2 MiB
25-50
145145 
100-300
130255 
50-100
107950 
250-500
21757 
500-500
 
837
Other values (3)
 
1161
ValueCountFrequency (%) 
25-50 14514534.2%
 
100-30013025530.7%
 
50-100 10795025.4%
 
250-500217575.1%
 
500-5008370.2%
 
300-5006170.1%
 
100-5005020.1%
 
1M-1M 42< 0.1%
 
(Missing)173264.1%
 
2020-11-04T16:55:37.985527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:38.130452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:38.386854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.836713152
Min length3
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48008.89346
Minimum-1
Maximum1000000
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:38.619871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile25000
Q125000
median50000
Q350000
95-th percentile100000
Maximum1000000
Range1000001
Interquartile range (IQR)25000

Descriptive statistics

Standard deviation37280.72648
Coefficient of variation (CV)0.7765379243
Kurtosis62.80490013
Mean48008.89346
Median Absolute Deviation (MAD)25000
Skewness5.255850276
Sum2.037646266e+10
Variance1389852567
MonotocityNot monotonic
2020-11-04T16:55:38.828395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
5000016795039.6%
 
2500014660034.5%
 
1000006110914.4%
 
35000271386.4%
 
-1173384.1%
 
25000036290.9%
 
5000006420.2%
 
100000025< 0.1%
 
ValueCountFrequency (%) 
-1173384.1%
 
2500014660034.5%
 
35000271386.4%
 
5000016795039.6%
 
1000006110914.4%
 
ValueCountFrequency (%) 
100000025< 0.1%
 
5000006420.2%
 
25000036290.9%
 
1000006110914.4%
 
5000016795039.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
N
407486 
Y
 
16945
ValueCountFrequency (%) 
N40748696.0%
 
Y169454.0%
 
2020-11-04T16:55:38.992247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5939.581496
Minimum-1
Maximum1000000
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:39.124324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1000000
Range1000001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39558.29284
Coefficient of variation (CV)6.660114499
Kurtosis129.1706939
Mean5939.581496
Median Absolute Deviation (MAD)0
Skewness10.1791575
Sum2520942514
Variance1564858532
MonotocityNot monotonic
2020-11-04T16:55:39.333194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
-140748696.0%
 
7500080261.9%
 
10000051791.2%
 
30000020370.5%
 
50000013860.3%
 
2000002720.1%
 
100000037< 0.1%
 
7500008< 0.1%
 
ValueCountFrequency (%) 
-140748696.0%
 
7500080261.9%
 
10000051791.2%
 
2000002720.1%
 
30000020370.5%
 
ValueCountFrequency (%) 
100000037< 0.1%
 
7500008< 0.1%
 
50000013860.3%
 
30000020370.5%
 
2000002720.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Y
258725 
N
165706 
ValueCountFrequency (%) 
Y25872561.0%
 
N16570639.0%
 
2020-11-04T16:55:39.492792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean295.7718546
Minimum-1
Maximum3000
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:39.635021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median250
Q3500
95-th percentile500
Maximum3000
Range3001
Interquartile range (IQR)501

Descriptive statistics

Standard deviation277.2630639
Coefficient of variation (CV)0.9374220691
Kurtosis2.652845744
Mean295.7718546
Median Absolute Deviation (MAD)250
Skewness0.7289422631
Sum125534744
Variance76874.80659
MonotocityNot monotonic
2020-11-04T16:55:39.831998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
50019336445.6%
 
-116570639.0%
 
2504471410.5%
 
1000166073.9%
 
10026640.6%
 
2008420.2%
 
2000205< 0.1%
 
50203< 0.1%
 
3000126< 0.1%
 
ValueCountFrequency (%) 
-116570639.0%
 
50203< 0.1%
 
10026640.6%
 
2008420.2%
 
2504471410.5%
 
ValueCountFrequency (%) 
3000126< 0.1%
 
2000205< 0.1%
 
1000166073.9%
 
50019336445.6%
 
2504471410.5%
 

Driver_Total
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
1
374495 
2
49898 
3
 
34
4
 
4
ValueCountFrequency (%) 
137449588.2%
 
24989811.8%
 
334< 0.1%
 
44< 0.1%
 
2020-11-04T16:55:40.107533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:40.298842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:40.520938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
1
222967 
0
198925 
2
 
2537
3
 
2
ValueCountFrequency (%) 
122296752.5%
 
019892546.9%
 
225370.6%
 
32< 0.1%
 
2020-11-04T16:55:40.803411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:40.958410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:41.149458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
1
238676 
0
181914 
2
 
3837
3
 
4
ValueCountFrequency (%) 
123867656.2%
 
018191442.9%
 
238370.9%
 
34< 0.1%
 
2020-11-04T16:55:41.396523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:41.547844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:41.714211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
324055 
1
98170 
2
 
2201
3
 
5
ValueCountFrequency (%) 
032405576.4%
 
19817023.1%
 
222010.5%
 
35< 0.1%
 
2020-11-04T16:55:41.926133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:42.063380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:42.241306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

Driver_Total_Married
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6974019334
Minimum0
Maximum4
Zeros165677
Zeros (%)39.0%
Memory size3.2 MiB
2020-11-04T16:55:42.403207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6217794059
Coefficient of variation (CV)0.8915653602
Kurtosis-0.6553071907
Mean0.6974019334
Median Absolute Deviation (MAD)0
Skewness0.3175130168
Sum295999
Variance0.3866096296
MonotocityNot monotonic
2020-11-04T16:55:42.565495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
122152152.2%
 
016567739.0%
 
2372248.8%
 
36< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
016567739.0%
 
122152152.2%
 
2372248.8%
 
36< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
43< 0.1%
 
36< 0.1%
 
2372248.8%
 
122152152.2%
 
016567739.0%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
1
326155 
0
97997 
2
 
279
ValueCountFrequency (%) 
132615576.8%
 
09799723.1%
 
22790.1%
 
2020-11-04T16:55:42.771437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:42.906669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:43.046218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
317634 
1
106624 
2
 
173
ValueCountFrequency (%) 
031763474.8%
 
110662425.1%
 
2173< 0.1%
 
2020-11-04T16:55:43.231684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:43.370787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:43.530263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
392893 
1
 
31314
2
 
223
3
 
1
ValueCountFrequency (%) 
039289392.6%
 
1313147.4%
 
22230.1%
 
31< 0.1%
 
2020-11-04T16:55:43.748802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2020-11-04T16:55:43.903204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:44.080917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

Driver_Total_Licensed_In_State
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.113450714
Minimum0
Maximum4
Zeros1468
Zeros (%)0.3%
Memory size3.2 MiB
2020-11-04T16:55:44.258686image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3281983557
Coefficient of variation (CV)0.2947578654
Kurtosis3.829329408
Mean1.113450714
Median Absolute Deviation (MAD)0
Skewness2.150883335
Sum472583
Variance0.1077141607
MonotocityNot monotonic
2020-11-04T16:55:44.443971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
137338588.0%
 
24954011.7%
 
014680.3%
 
334< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
014680.3%
 
137338588.0%
 
24954011.7%
 
334< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
44< 0.1%
 
334< 0.1%
 
24954011.7%
 
137338588.0%
 
014680.3%
 

Driver_Minimum_Age
Real number (ℝ≥0)

HIGH CORRELATION

Distinct86
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.225443
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Memory size3.2 MiB
2020-11-04T16:55:44.693326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q134
median46
Q357
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.9579441
Coefficient of variation (CV)0.3452199278
Kurtosis-0.5122435381
Mean46.225443
Median Absolute Deviation (MAD)11
Skewness0.2161092671
Sum19619511
Variance254.6559798
MonotocityNot monotonic
2020-11-04T16:55:44.948543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42103062.4%
 
43101522.4%
 
46101472.4%
 
45101012.4%
 
41100112.4%
 
4499232.3%
 
4999222.3%
 
4898742.3%
 
4796832.3%
 
5096502.3%
 
Other values (76)32466276.5%
 
ValueCountFrequency (%) 
01< 0.1%
 
152< 0.1%
 
1634300.8%
 
1742241.0%
 
1846651.1%
 
ValueCountFrequency (%) 
9914< 0.1%
 
987< 0.1%
 
9713< 0.1%
 
9628< 0.1%
 
9522< 0.1%
 

Driver_Maximum_Age
Real number (ℝ≥0)

HIGH CORRELATION

Distinct86
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.26590895
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Memory size3.2 MiB
2020-11-04T16:55:45.222402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q136
median47
Q358
95-th percentile75
Maximum99
Range99
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.66376222
Coefficient of variation (CV)0.3313966149
Kurtosis-0.4630305637
Mean47.26590895
Median Absolute Deviation (MAD)11
Skewness0.2087235089
Sum20061117
Variance245.353447
MonotocityNot monotonic
2020-11-04T16:55:45.495019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
46106032.5%
 
43105512.5%
 
42105462.5%
 
45105262.5%
 
49104162.5%
 
41103472.4%
 
48103282.4%
 
44103192.4%
 
47100702.4%
 
50100562.4%
 
Other values (76)32066975.6%
 
ValueCountFrequency (%) 
01< 0.1%
 
151< 0.1%
 
1622600.5%
 
1730000.7%
 
1834510.8%
 
ValueCountFrequency (%) 
9916< 0.1%
 
9810< 0.1%
 
9713< 0.1%
 
9630< 0.1%
 
9523< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
407343 
1
 
16957
2
 
131
ValueCountFrequency (%) 
040734396.0%
 
1169574.0%
 
2131< 0.1%
 
2020-11-04T16:55:45.777147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:45.927348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:46.069635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
405549 
1
 
18399
2
 
483
ValueCountFrequency (%) 
040554995.6%
 
1183994.3%
 
24830.1%
 
2020-11-04T16:55:46.274755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:46.431982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:46.583455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
389360 
1
 
33055
2
 
2016
ValueCountFrequency (%) 
038936091.7%
 
1330557.8%
 
220160.5%
 
2020-11-04T16:55:46.800921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:46.952128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:47.105336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
339962 
1
78941 
2
 
5527
3
 
1
ValueCountFrequency (%) 
033996280.1%
 
17894118.6%
 
255271.3%
 
31< 0.1%
 
2020-11-04T16:55:47.310641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2020-11-04T16:55:47.451258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:47.619227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
317015 
1
101906 
2
 
5509
3
 
1
ValueCountFrequency (%) 
031701574.7%
 
110190624.0%
 
255091.3%
 
31< 0.1%
 
2020-11-04T16:55:47.824212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2020-11-04T16:55:47.959318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:48.115488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

Driver_Total_Adult_Ages_50_64
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3081655204
Minimum0
Maximum4
Zeros301761
Zeros (%)71.1%
Memory size3.2 MiB
2020-11-04T16:55:48.274871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.501503267
Coefficient of variation (CV)1.627382798
Kurtosis0.5656378634
Mean0.3081655204
Median Absolute Deviation (MAD)0
Skewness1.279408391
Sum130795
Variance0.2515055268
MonotocityNot monotonic
2020-11-04T16:55:48.456194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
030176171.1%
 
111454827.0%
 
281201.9%
 
41< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
030176171.1%
 
111454827.0%
 
281201.9%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
31< 0.1%
 
281201.9%
 
111454827.0%
 
030176171.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
399279 
1
 
24225
2
 
927
ValueCountFrequency (%) 
039927994.1%
 
1242255.7%
 
29270.2%
 
2020-11-04T16:55:48.705232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:48.911364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:49.081178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
385964 
1
 
35996
2
 
2471
ValueCountFrequency (%) 
038596490.9%
 
1359968.5%
 
224710.6%
 
2020-11-04T16:55:49.329254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:49.521910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:49.720998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
N
383191 
Y
41240 
ValueCountFrequency (%) 
N38319190.3%
 
Y412409.7%
 
2020-11-04T16:55:49.876000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Not Applicable
383191 
With or Without Driver Training
 
20305
Without Driver Training
 
17635
With Driver Training
 
3300
ValueCountFrequency (%) 
Not Applicable 38319190.3%
 
With or Without Driver Training203054.8%
 
Without Driver Training 176354.2%
 
With Driver Training 33000.8%
 
2020-11-04T16:55:50.055140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:50.234993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:50.470359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length31
Median length31
Mean length31
Min length31
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Not Eligible for Good Student Credit
418562 
Eligible for Good Student Credit
 
5869
ValueCountFrequency (%) 
Not Eligible for Good Student Credit41856298.6%
 
Eligible for Good Student Credit 58691.4%
 
2020-11-04T16:55:50.700885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:50.831818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:51.001645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length36
Mean length36
Min length36

Vehicle_Driver_Points
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1197650501
Minimum0
Maximum7
Zeros381289
Zeros (%)89.8%
Memory size3.2 MiB
2020-11-04T16:55:51.174851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3838138993
Coefficient of variation (CV)3.204723739
Kurtosis17.48905802
Mean0.1197650501
Median Absolute Deviation (MAD)0
Skewness3.744983882
Sum50832
Variance0.1473131093
MonotocityNot monotonic
2020-11-04T16:55:51.342949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
038128989.8%
 
1364318.6%
 
259051.4%
 
36700.2%
 
4108< 0.1%
 
521< 0.1%
 
65< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
038128989.8%
 
1364318.6%
 
259051.4%
 
36700.2%
 
4108< 0.1%
 
ValueCountFrequency (%) 
72< 0.1%
 
65< 0.1%
 
521< 0.1%
 
4108< 0.1%
 
36700.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Y
255658 
N
168773 
ValueCountFrequency (%) 
Y25565860.2%
 
N16877339.8%
 
2020-11-04T16:55:51.488045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
N
306084 
Y
118347 
ValueCountFrequency (%) 
N30608472.1%
 
Y11834727.9%
 
2020-11-04T16:55:51.566302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Y
374855 
N
49576 
ValueCountFrequency (%) 
Y37485588.3%
 
N4957611.7%
 
2020-11-04T16:55:51.645220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

EEA_Policy_Zip_Code_3
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size3.2 MiB

EEA_Policy_Tenure
Real number (ℝ)

ZEROS

Distinct463
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.886340772
Minimum-1
Maximum54
Zeros41876
Zeros (%)9.9%
Memory size3.2 MiB
2020-11-04T16:55:51.799565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q11.2
median3.5
Q38.3
95-th percentile19.8
Maximum54
Range55
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation6.646431763
Coefficient of variation (CV)1.129127929
Kurtosis4.850752332
Mean5.886340772
Median Absolute Deviation (MAD)3
Skewness1.970534277
Sum2498345.5
Variance44.17505518
MonotocityNot monotonic
2020-11-04T16:55:52.026148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0418769.9%
 
0.5290846.9%
 
1276076.5%
 
2219915.2%
 
1.5218165.1%
 
2.5184264.3%
 
3174144.1%
 
3.5140863.3%
 
4125202.9%
 
4.5104072.5%
 
Other values (453)20920449.3%
 
ValueCountFrequency (%) 
-141< 0.1%
 
0418769.9%
 
0.1111< 0.1%
 
0.23150.1%
 
0.310950.3%
 
ValueCountFrequency (%) 
541< 0.1%
 
53.51< 0.1%
 
47.91< 0.1%
 
47.74< 0.1%
 
47.64< 0.1%
 

EEA_Agency_Type
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Hybrid
122522 
Preferred
109248 
Standard
103007 
Non-standard
89654 
ValueCountFrequency (%) 
Hybrid12252228.9%
 
Preferred10924825.7%
 
Standard10300724.3%
 
Non-standard8965421.1%
 
2020-11-04T16:55:52.261659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:52.396500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:52.568015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length12
Median length8
Mean length8.524985216
Min length6
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
N
224758 
Y
199673 
ValueCountFrequency (%) 
N22475853.0%
 
Y19967347.0%
 
2020-11-04T16:55:52.702336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Y
260490 
N
163941 
ValueCountFrequency (%) 
Y26049061.4%
 
N16394138.6%
 
2020-11-04T16:55:52.783051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

EEA_Prior_Bodily_Injury_Limit
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)< 0.1%
Missing17326
Missing (%)4.1%
Memory size3.2 MiB
20-50
145145 
100-200
130255 
40-100
107950 
100-400
21757 
300-300
 
837
Other values (3)
 
1161
ValueCountFrequency (%) 
20-5014514534.2%
 
100-20013025530.7%
 
40-100 10795025.4%
 
100-400217575.1%
 
300-3008370.2%
 
200-4006170.1%
 
75-3005020.1%
 
750-75042< 0.1%
 
(Missing)173264.1%
 
2020-11-04T16:55:52.937690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:53.084498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:54.556296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.151579409
Min length3

EEA_PolicyYear
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
2006
424431 
ValueCountFrequency (%) 
2006424431100.0%
 
2020-11-04T16:55:54.787373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-04T16:55:54.933015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:55.082245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length4
Mean length4
Min length4
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Y
376208 
N
48223 
ValueCountFrequency (%) 
Y37620888.6%
 
N4822311.4%
 
2020-11-04T16:55:55.228874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
N
381786 
Y
42645 
ValueCountFrequency (%) 
N38178690.0%
 
Y4264510.0%
 
2020-11-04T16:55:55.308355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Annual_Premium
Real number (ℝ≥0)

Distinct24777
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean335.3542278
Minimum0.54
Maximum3941.08
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-04T16:55:55.506276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.54
5-th percentile107.06
Q1157.94
median328.58
Q3445.2
95-th percentile666.74
Maximum3941.08
Range3940.54
Interquartile range (IQR)287.26

Descriptive statistics

Standard deviation206.2913852
Coefficient of variation (CV)0.615144728
Kurtosis10.04070716
Mean335.3542278
Median Absolute Deviation (MAD)147.32
Skewness1.86363903
Sum142334730.2
Variance42556.13562
MonotocityNot monotonic
2020-11-04T16:55:55.853690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
120.8436870.9%
 
124.0225420.6%
 
133.5624370.6%
 
135.6823630.6%
 
130.3823430.6%
 
137.822860.5%
 
125.0822680.5%
 
129.3220600.5%
 
138.8620570.5%
 
132.520020.5%
 
Other values (24767)40038694.3%
 
ValueCountFrequency (%) 
0.541< 0.1%
 
0.561< 0.1%
 
0.583< 0.1%
 
0.61< 0.1%
 
0.612< 0.1%
 
ValueCountFrequency (%) 
3941.081< 0.1%
 
37101< 0.1%
 
3591.281< 0.1%
 
3538.281< 0.1%
 
3535.11< 0.1%
 

Claim_Count
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04689337018
Minimum0
Maximum5
Zeros405562
Zeros (%)95.6%
Memory size3.2 MiB
2020-11-04T16:55:56.080531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2235972157
Coefficient of variation (CV)4.768205288
Kurtosis30.01077819
Mean0.04689337018
Median Absolute Deviation (MAD)0
Skewness5.113148748
Sum19903
Variance0.04999571485
MonotocityNot monotonic
2020-11-04T16:55:56.269980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
040556295.6%
 
1179124.2%
 
28930.2%
 
352< 0.1%
 
411< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
040556295.6%
 
1179124.2%
 
28930.2%
 
352< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
411< 0.1%
 
352< 0.1%
 
28930.2%
 
1179124.2%
 

Loss_Amount
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct15891
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.4292386
Minimum0
Maximum1072291.86
Zeros405562
Zeros (%)95.6%
Memory size3.2 MiB
2020-11-04T16:55:56.531038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1072291.86
Range1072291.86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3399.225402
Coefficient of variation (CV)14.43841649
Kurtosis25330.3197
Mean235.4292386
Median Absolute Deviation (MAD)0
Skewness103.5190468
Sum99923467.17
Variance11554733.33
MonotocityNot monotonic
2020-11-04T16:55:56.795284image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
040556295.6%
 
54.514630.3%
 
10902600.1%
 
49.05212< 0.1%
 
43.6102< 0.1%
 
109101< 0.1%
 
38.1574< 0.1%
 
218055< 0.1%
 
545049< 0.1%
 
27.2549< 0.1%
 
Other values (15881)165043.9%
 
ValueCountFrequency (%) 
040556295.6%
 
0.11< 0.1%
 
0.111< 0.1%
 
4.461< 0.1%
 
6.491< 0.1%
 
ValueCountFrequency (%) 
1072291.861< 0.1%
 
445481.091< 0.1%
 
3270001< 0.1%
 
2997501< 0.1%
 
2970251< 0.1%
 

Frequency
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct781
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1150178582
Minimum0
Maximum370.3703704
Zeros405562
Zeros (%)95.6%
Memory size3.2 MiB
2020-11-04T16:55:57.053881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum370.3703704
Range370.3703704
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.636176241
Coefficient of variation (CV)14.22541044
Kurtosis27634.88023
Mean0.1150178582
Median Absolute Deviation (MAD)0
Skewness143.6096443
Sum48817.14456
Variance2.677072691
MonotocityNot monotonic
2020-11-04T16:55:57.310656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
040556295.6%
 
2151673.6%
 
110140.2%
 
47290.2%
 
4.13564929791< 0.1%
 
4.06669377888< 0.1%
 
639< 0.1%
 
4.11184210537< 0.1%
 
4.02252614630< 0.1%
 
4.0899795529< 0.1%
 
Other values (771)16450.4%
 
ValueCountFrequency (%) 
040556295.6%
 
110140.2%
 
1.002707314< 0.1%
 
1.0055304173< 0.1%
 
1.0082677963< 0.1%
 
ValueCountFrequency (%) 
370.37037043< 0.1%
 
357.14285711< 0.1%
 
185.18518525< 0.1%
 
181.81818184< 0.1%
 
121.95121952< 0.1%
 

Severity
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct15896
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226.7193418
Minimum0
Maximum1072291.86
Zeros405562
Zeros (%)95.6%
Memory size3.2 MiB
2020-11-04T16:55:57.585665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1072291.86
Range1072291.86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3337.804293
Coefficient of variation (CV)14.72218588
Kurtosis27222.21876
Mean226.7193418
Median Absolute Deviation (MAD)0
Skewness108.4729269
Sum96226716.98
Variance11140937.5
MonotocityNot monotonic
2020-11-04T16:55:57.851522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
040556295.6%
 
54.515690.4%
 
10902600.1%
 
49.052240.1%
 
43.6108< 0.1%
 
38.1578< 0.1%
 
218055< 0.1%
 
27.2550< 0.1%
 
545049< 0.1%
 
51.77525< 0.1%
 
Other values (15886)164513.9%
 
ValueCountFrequency (%) 
040556295.6%
 
0.11< 0.1%
 
0.111< 0.1%
 
4.461< 0.1%
 
6.491< 0.1%
 
ValueCountFrequency (%) 
1072291.861< 0.1%
 
445481.091< 0.1%
 
3270001< 0.1%
 
2997501< 0.1%
 
2970251< 0.1%
 

Loss_Ratio
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4417
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.154622589
Minimum0
Maximum24787.14
Zeros405564
Zeros (%)95.6%
Memory size3.2 MiB
2020-11-04T16:55:58.094349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24787.14
Range24787.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.15386795
Coefficient of variation (CV)47.76787539
Kurtosis112442.5218
Mean1.154622589
Median Absolute Deviation (MAD)0
Skewness288.7197059
Sum490057.62
Variance3041.949149
MonotocityNot monotonic
2020-11-04T16:55:58.351423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
040556495.6%
 
0.12191< 0.1%
 
0.13168< 0.1%
 
0.14148< 0.1%
 
0.11140< 0.1%
 
0.15128< 0.1%
 
0.16110< 0.1%
 
0.09104< 0.1%
 
0.194< 0.1%
 
0.1788< 0.1%
 
Other values (4407)176964.2%
 
ValueCountFrequency (%) 
040556495.6%
 
0.012< 0.1%
 
0.023< 0.1%
 
0.036< 0.1%
 
0.0422< 0.1%
 
ValueCountFrequency (%) 
24787.141< 0.1%
 
15229.181< 0.1%
 
8443.021< 0.1%
 
6409.681< 0.1%
 
5649.711< 0.1%
 

Interactions

2020-11-04T16:51:07.194691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:07.521585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:07.813287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:08.548045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:08.850163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:09.137790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:09.428714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:09.706803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:09.986779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:10.289731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:10.605670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:10.918058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:11.226355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:11.507915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:11.811842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:12.136201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:12.437485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:12.721803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:13.029767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:13.327136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:13.619388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:13.921433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:14.189111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:14.498251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:14.831125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:15.115448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:15.396026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:15.692559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:15.992112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:16.292829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:16.592619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:16.875199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:17.168522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:17.577276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:17.862642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:18.163930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:18.455196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:18.747001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:19.051719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:19.342691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:19.637476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:19.951871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:20.258097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:20.552150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:20.858886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:21.168596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:21.451671image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:21.745560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:22.023173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:22.344523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:22.624964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:22.920487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:23.205263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:23.489052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:23.773877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:24.064868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:24.362032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:24.650941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:24.954913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:25.254525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:25.536098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:25.834209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:26.133729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:26.412810image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:26.727818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:27.032982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:27.336449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:27.654454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:27.948192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:28.378664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:28.676143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:28.982884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:29.293092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:29.591538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:29.868666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:30.152882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:30.449198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:30.752255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:31.042514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:31.351404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:31.648619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:31.936000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:32.253886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:32.548387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:32.847469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:33.145670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:33.435455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:33.734873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:34.029539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:34.328751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:34.635716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:34.933539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:35.248782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:35.568407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:35.868931image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:36.147927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:36.470321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:36.778419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:37.091429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:37.410294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:37.707314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:38.010807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:38.347647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:38.690916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:38.984589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:39.273260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:39.562660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:39.865682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:40.173639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:40.460493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:40.760575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:41.067169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:41.356496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:41.863437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:42.179956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:42.498306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:42.811817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:43.114264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:43.413908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:43.729258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:44.035306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:44.323426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:44.628108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:44.929605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:45.229358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:45.528781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:45.808697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:46.096520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:46.391085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:46.672272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:46.956993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:47.259892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:47.562451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:47.855903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:48.176513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:48.474165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:48.779584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:49.072288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:49.351491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:49.659090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:49.961558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:50.262811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:50.580277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:50.879656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:51.192385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:51.517665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:51.824095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:52.118713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:52.445699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:52.757164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:53.057633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:53.374212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:53.675684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:53.978234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:54.283986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:54.586060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:54.882907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:55.175153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:55.485269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:55.774786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:56.081649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:56.372059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:56.678165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:56.966866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:57.245759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:57.549462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:57.855081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:58.406882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:51:58.725066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-11-04T16:54:13.700837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:14.011600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:14.333199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:14.691939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:15.001671image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:15.329715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:15.628361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:15.943033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:16.281111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:16.603181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:16.898075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:17.224039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:17.559267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:17.891871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:18.231424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:18.529774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:18.853620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:19.156529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:19.468406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:19.767609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:20.090135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:20.407369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:20.731309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:21.081007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:21.420247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:21.753454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:22.087537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:22.411473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:22.750826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:23.070093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:23.394140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:23.718844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:24.077516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:24.438831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:24.838373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:25.173302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:25.495945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:25.811250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:26.152986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:26.480925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:26.800509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:27.111401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:27.422256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:27.735784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:28.048112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:28.381162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:28.696913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:29.019142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:29.352442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:29.700866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:30.022701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:30.369183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:30.668500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:30.974351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:31.380995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:31.890653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:32.377971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:32.798092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:33.191648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:33.572091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:33.893205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:34.199380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:34.531728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:34.869640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:35.244498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:35.562136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:35.886495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:36.188185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:36.509548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:36.866649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:37.191953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:37.511782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:37.808792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:38.118799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:38.428458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:38.735708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:39.017846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:39.328713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:39.642596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:39.977933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:40.304930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:40.669427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:41.011255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:41.353710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:41.700089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:42.072604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:42.410844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:42.734358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:43.031956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:43.405359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:43.781677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:44.097445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:44.415142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:44.697224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:45.000948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:46.073154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:54:46.385424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-11-04T16:55:58.713554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-04T16:55:59.824494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-04T16:56:01.063191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-04T16:56:02.339698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-11-04T16:56:06.413357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-11-04T16:54:49.578960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:07.678048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:20.668062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-11-04T16:55:23.312882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

PolicyNoPolicy_CompanyPolicy_Installment_TermPolicy_Billing_CodePolicy_Method_Of_PaymentPolicy_Reinstatement_Fee_IndicatorPolicy_Zip_Code_Garaging_LocationVehicle_TerritoryVehicle_Make_YearVehicle_Make_DescriptionVehicle_PerformanceVehicle_New_Cost_AmountVehicle_SymbolVehicle_Number_Of_Drivers_AssignedVehicle_UsageVehicle_Miles_To_WorkVehicle_Days_Per_Week_DrivenVehicle_Annual_MilesVehicle_Anti_Theft_DeviceVehicle_Passive_RestraintVehicle_Age_In_YearsVehicle_Med_Pay_LimitVehicle_Bodily_Injury_LimitVehicle_Physical_Damage_LimitVehicle_Comprehensive_Coverage_IndicatorVehicle_Comprehensive_Coverage_LimitVehicle_Collision_Coverage_IndicatorVehicle_Collision_Coverage_DeductibleDriver_TotalDriver_Total_MaleDriver_Total_FemaleDriver_Total_SingleDriver_Total_MarriedDriver_Total_Related_To_Insured_SelfDriver_Total_Related_To_Insured_SpouseDriver_Total_Related_To_Insured_ChildDriver_Total_Licensed_In_StateDriver_Minimum_AgeDriver_Maximum_AgeDriver_Total_Teenager_Age_15_19Driver_Total_College_Ages_20_23Driver_Total_Young_Adult_Ages_24_29Driver_Total_Low_Middle_Adult_Ages_30_39Driver_Total_Middle_Adult_Ages_40_49Driver_Total_Adult_Ages_50_64Driver_Total_Senior_Ages_65_69Driver_Total_Upper_Senior_Ages_70_plusVehicle_Youthful_Driver_IndicatorVehicle_Youthful_Driver_Training_CodeVehicle_Youthful_Good_Student_CodeVehicle_Driver_PointsVehicle_Safe_Driver_Discount_IndicatorEEA_Liability_Coverage_Only_IndicatorEEA_Multi_Auto_Policies_IndicatorEEA_Policy_Zip_Code_3EEA_Policy_TenureEEA_Agency_TypeEEA_Packaged_Policy_IndicatorEEA_Full_Coverage_IndicatorEEA_Prior_Bodily_Injury_LimitEEA_PolicyYearSYS_RenewedSYS_New_BusinessAnnual_PremiumClaim_CountLoss_AmountFrequencySeverityLoss_Ratio
0164532941Standard6Direct Billed to InsuredPre-paidN43046352004BUIK LESABRE LIStandard-1111Farm-15UnknownNot ApplicableY31000250-500100000N-1Y500101001001757500000001NNot ApplicableNot Eligible for Good Student Credit0YNN43022.7StandardNY100-4002006YN320.1200.00.00.00.0
1164533241Standard6Direct Billed to InsuredPre-paidNUnknown351980CADILLAC 4-DOORStandard-1111Farm-15UnknownNot ApplicableN92000100-30050000N-1Y50101010001717100000001NNot ApplicableNot Eligible for Good Student Credit0YNNUnknown47.1PreferredNY100-2002006YN259.7000.00.00.00.0
2164534633Standard6Direct Billed to InsuredPre-paidN43555172005PONT MONTANA SVStandard-1101Pleasure-15UnknownPassive Disabling-Vehicle RecoveryY250000250-500100000N-1Y100110011001808000000001NNot ApplicableNot Eligible for Good Student Credit0YNN43547.2Non-standardNY100-4002006YN613.7400.00.00.00.0
3164534839Standard6Direct Billed to InsuredPre-paidN43561172005MERC GRAND MARQStandard-1121Pleasure-15UnknownPassive Disabling-Vehicle RecoveryY2500050-10035000N-1Y250110011001747400000001NNot ApplicableNot Eligible for Good Student Credit0YNY43546.7Non-standardYY40-1002006YN541.6600.00.00.00.0
4164534840Standard6Direct Billed to InsuredPre-paidN43561172005MERC GRAND MARQStandard-1121Pleasure-15UnknownPassive Disabling-Vehicle RecoveryY2500050-10035000N-1Y250110011001757500000001NNot ApplicableNot Eligible for Good Student Credit0YNY43547.2Non-standardYY40-1002006YN541.6600.00.00.00.0
5164534933Standard6Direct Billed to InsuredPre-paidN43052271985GMC S15Standard-171Work105UnknownNot ApplicableN9500025-5025000N-1N-1101011001474700001000NNot ApplicableNot Eligible for Good Student Credit0YNY43016.5HybridYN20-502006YN164.3000.00.00.00.0
6164542135Standard6Direct Billed to InsuredInstallmentN44095312002FORD EXPLOR XLTStandard-1111Pleasure-15UnknownNot ApplicableY51000NaN-1Y75000Y500211021102546000000200NNot ApplicableNot Eligible for Good Student Credit1NNY44016.5PreferredYYNaN2006YN445.2000.00.00.00.0
7164542433Standard6Direct Billed to InsuredPre-paidN42858352005FORD F-150 SUPEStandard-1161Farm-15UnknownPassive Disabling-Vehicle RecoveryY21000250-500100000N-1Y1000211021102748500000002NNot ApplicableNot Eligible for Good Student Credit0YNY42816.5StandardYY100-4002006YN336.0200.00.00.00.0
8164543341Standard6Direct Billed to InsuredPre-paidY42980301991CHEV S10 BLAZERStandard-1121Farm-15UnknownNot ApplicableN9-150-10050000N-1N-1110011001747400000001NNot ApplicableNot Eligible for Good Student Credit0YYY42946.3Non-standardNN40-1002006YN103.8800.00.00.00.0
9164544226Standard6Direct Billed to InsuredPre-paidN42597302005CADI DEVILLEIntermediate-1151Pleasure-15UnknownNot ApplicableY21000100-30050000N-1Y500110001001717100000001NNot ApplicableNot Eligible for Good Student Credit0YNY42516.5HybridYY100-2002006YN505.6200.00.00.00.0

Last rows

PolicyNoPolicy_CompanyPolicy_Installment_TermPolicy_Billing_CodePolicy_Method_Of_PaymentPolicy_Reinstatement_Fee_IndicatorPolicy_Zip_Code_Garaging_LocationVehicle_TerritoryVehicle_Make_YearVehicle_Make_DescriptionVehicle_PerformanceVehicle_New_Cost_AmountVehicle_SymbolVehicle_Number_Of_Drivers_AssignedVehicle_UsageVehicle_Miles_To_WorkVehicle_Days_Per_Week_DrivenVehicle_Annual_MilesVehicle_Anti_Theft_DeviceVehicle_Passive_RestraintVehicle_Age_In_YearsVehicle_Med_Pay_LimitVehicle_Bodily_Injury_LimitVehicle_Physical_Damage_LimitVehicle_Comprehensive_Coverage_IndicatorVehicle_Comprehensive_Coverage_LimitVehicle_Collision_Coverage_IndicatorVehicle_Collision_Coverage_DeductibleDriver_TotalDriver_Total_MaleDriver_Total_FemaleDriver_Total_SingleDriver_Total_MarriedDriver_Total_Related_To_Insured_SelfDriver_Total_Related_To_Insured_SpouseDriver_Total_Related_To_Insured_ChildDriver_Total_Licensed_In_StateDriver_Minimum_AgeDriver_Maximum_AgeDriver_Total_Teenager_Age_15_19Driver_Total_College_Ages_20_23Driver_Total_Young_Adult_Ages_24_29Driver_Total_Low_Middle_Adult_Ages_30_39Driver_Total_Middle_Adult_Ages_40_49Driver_Total_Adult_Ages_50_64Driver_Total_Senior_Ages_65_69Driver_Total_Upper_Senior_Ages_70_plusVehicle_Youthful_Driver_IndicatorVehicle_Youthful_Driver_Training_CodeVehicle_Youthful_Good_Student_CodeVehicle_Driver_PointsVehicle_Safe_Driver_Discount_IndicatorEEA_Liability_Coverage_Only_IndicatorEEA_Multi_Auto_Policies_IndicatorEEA_Policy_Zip_Code_3EEA_Policy_TenureEEA_Agency_TypeEEA_Packaged_Policy_IndicatorEEA_Full_Coverage_IndicatorEEA_Prior_Bodily_Injury_LimitEEA_PolicyYearSYS_RenewedSYS_New_BusinessAnnual_PremiumClaim_CountLoss_AmountFrequencySeverityLoss_Ratio
424421381414400Standard6Direct Billed to InsuredPre-paidN42880351977GMC K1500 JIMMYStandard-11099Work205UnknownNot ApplicableN9-1NaN-1N-1N-1110001001414100001000NNot ApplicableNot Eligible for Good Student Credit2NNY4280.0PreferredNNNaN2006NY66.0800.000.0000000.000.00
424422381444800Standard12Premium FinancePre-paidN43438262001TYTA TUNDRA SR5Standard-11599Farm-15UnknownNot ApplicableY75000100-30050000N-1Y500110011001292900100000NNot ApplicableNot Eligible for Good Student Credit0NNY4340.0HybridYY100-2002006YY751.5400.000.0000000.000.00
424423381467800Standard12Premium FinancePre-paidN42525352004MITS GALANT DEStandard-1121Pleasure-15UnknownPassive Disabling-Vehicle RecoveryY41000100-30050000N-1Y500101101001222201000000YWith or Without Driver TrainingNot Eligible for Good Student Credit1NNN4250.0Non-standardNY100-2002006NY664.501571.192.134472571.190.86
424424381471900Standard6Direct Billed to InsuredPre-paidN43427312001DODG STRATUS SEStandard-1164Work35UnknownNot ApplicableY7-125-5025000N-1Y500110100011222201000000YWith or Without Driver TrainingNot Eligible for Good Student Credit0NNY4340.0Non-standardYY20-502006NY649.5500.000.0000000.000.00
424425381525500Standard12Premium FinancePre-paidN42581362007NSSN VERSA S-VEStandard-1799Work55UnknownPassive Disabling-Vehicle RecoveryY15000100-300100000N-1Y1000110011001353500010000NNot ApplicableNot Eligible for Good Student Credit0NNY4250.0Non-standardYY100-2002006YY541.2600.000.0000000.000.00
424426381713000Standard6Direct Billed to InsuredPre-paidN42851351999PONT GR PRIX GTStandard-182Pleasure-15UnknownPassive Disabling-Vehicle RecoveryY95000NaN-1Y300000N-1101100011181810000000YWithout Driver TrainingNot Eligible for Good Student Credit0NNN4280.0PreferredNYNaN2006YY162.5500.000.0000000.000.00
424427381735600Standard6Direct Billed to InsuredPre-paidN43669312000NSSN QUESTStandard-182Pleasure-15UnknownActive DisablingY85000100-30050000N-1N-1101100011202001000000YWithout Driver TrainingNot Eligible for Good Student Credit0NNY4360.0HybridYN100-2002006YY117.1300.000.0000000.000.00
424428382057400Standard6Direct Billed to InsuredInstallmentN42487351997PONT TRANSSPORTStandard-181Pleasure-15UnknownPassive Disabling-Vehicle RecoveryY950000250-500100000N-1Y500110011001585800000100NNot ApplicableNot Eligible for Good Student Credit0NNY4240.0PreferredNY100-4002006NY118.2100.000.0000000.000.00
424429382162500Preferred6Direct Billed to InsuredInstallmentN43360311998PONT SUNFIRE SEStandard-1171Pleasure-15UnknownNot ApplicableY9500050-10050000N-1N-1101001001303000010000NNot ApplicableNot Eligible for Good Student Credit0NYY4330.0Non-standardNN40-1002006NY103.9300.000.0000000.000.00
424430382348800Standard6Direct Billed to InsuredInstallmentN43905312006CHEV TRAILBLAZEStandard-1121Work125UnknownPassive Disabling-Vehicle RecoveryY2-1NaN-1N-1N-1101011001444400001000NNot ApplicableNot Eligible for Good Student Credit0NNY4390.0Non-standardYNNaN2006YY281.2400.000.0000000.000.00